arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.00291cs.IR
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Recommandation ontologique multicritère pour la metrologie

Recommandation ontologique multicritère pour la métrologie

Axel Mascaro, Christophe Rey

摘要:

匹配和信息排名是帮助用户的过程,通过提供他们的要求可能的最佳答案。当没有确切的答案时,给他们最接近的建议是帮助过程的有效升级。本文以计量学知识表示平台为框架,讨论了基于知识表示的排序问题,提出了一种基于描述逻辑、本体和多准则比较的排序方法。我们提出了一个推理来比较每一个命题与其他的语义和句法的差异,通过截断不同成分中的信息。

英文摘要:

Matchmaking and information ranking are helping process for users, by offering them the best answers possible at their request. When there is no exact answer, giving them the closest proposition available is an efficient upgrade of that helping process. With a reasearch platform on metrology as a framework, we will discuss about ranking with knowledge representation, with an approach based on Description Logic, ontologies and multricriteria comparison. We present a reasonning to compare each proposition with the other, with semantic and syntaxic difference, by troncating the information in distinct component.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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